Genetic algorithms is an effective method for random search of optimum.

遗传算法是一种新型的随机搜索寻优方法。

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After every basic mutation, crossover and competition, a new competition with a random swarm is added so as to effectively jump out of the local optimum and enhance the ability of global search.

在每一代变异、交叉和竞争之后，又增加了与随机新种群的竞争操作，使算法易于跳出局部最优点，以提高全局搜索能力。

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